set_xticklabels) and run this: labels = [item. plot() or Series. HourLocator()) edited Feb 17, 2016 at 20:48. Set the xaxis' tick locations and optionally tick labels. a. import pandas as pd import numpy as np import matplotlib. Get the mean value of the series. The list of ytick locations. Here you want a bar plot. datetime and numpy. Sep 17, 2016 · But it appears to be really easy and you do not need to make any parameterization or play with some x-ticks positions, etc. Also, if performance matters, because you want counts of unique integers, there are a couple of slightly more efficient methods ( np. That is, the plot() method on pandas’ Series and DataFrame is a wrapper around plt. Get or set the current tick locations and labels of the x-axis. index, figsize=(16, 8), subplots=True) If I use this method then I get something like this in the plot which is obviously very messy. Jun 13, 2020 · 7. The axis to which the parameters are applied. set_xticks; the number of labels must match the number of locations. You can use the tick_params function on the ax instance to control the size of the tick-labels on the x-axis. xlim() plt. A new solution can be accepted if a better one shows up. plot(kind='bar') Everything is fine, but pandas use for the x-axis the values from the first unnamed column. bar() method inherits its arguments from plot(), which has rot argument: from the docs: rot: int, default None. plot(kind='line',x_compat=True) however the resultant plot skips every second element of the index like so: My code to call the plot includes the (x_compat=True) parameter which the documentation for pandas suggests should stop the auto tick configuratioin but it seems to have no effect. set_xlim(pd. 4,931 20 20 gold badges 82 82 silver badges 147 147 Dec 5, 2015 · The plot was created from a pandas. set_major_locator(mdates. Here's the fix I added: ax. DataFrame(dict(date=pd. Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True. It is possible to customize the ticks and tick labels with either high-level methods like set_xticks or set the locators and formatters directly on the axis. Set the xticks as consecutive numerical values and the actual years only as labels: plt. Make plots of Series or DataFrame. Parameters: dataSeries or DataFrame. At the first I try to use xticks=df['C'] or just x=df['C'], but didn't get good results I'm very sorry, but at New in version 0. use percentage tick labels for the y axis. This can easily happen without notice when reading in a comma-delimited text file. – Thomas Kühn. import seaborn as sns. The ticks and labels of pandas time series plots are currently formatted like this by default: The bar labels are then adjusted to the values of x. e. to_pydatetime() May 5, 2014 · I use next command in pandas: df['B']. May 1, 2019 · Changing xticks in a pandas plot. Set the figure size and adjust the padding between and around the subplots. arange(len(df)), but if your index isn't evenly spaced use the arange). Jun 17, 2013 · It can be used for any spacings between labels: # tick_limit: the last tick position without centering (16 in your example) # offset: how many steps between each tick (1 in your example) # myticklabels: string labels, optional (range (1,16) in your example) # need to set limits so the following works: ax. Post your data as text, not images. astype ('str'), y) By modifying the code from the previous answer you will get: n = 12. The new x-axis. May 1, 2017 · I need to have my x-axis as numeric values, because I want to add a scatter plot later, which is not possible with string values. xticks() after the plt. #import matplotlib. 734. set_rotation(45) Dec 5, 2019 · I have tried changing the ha to right and left as well as center, and this does not help. 140. index. k. I only want to show the first or last date of every month. xticks ()函数. The result is. This works: %matplotlib notebook. How to plot a pandas multiindex dataFrame with all xticks. plot(xticks=gna_plot. Jun 22, 2022 · The row "g. Mar 20, 2017 · To make a semi-log plot with x-scale logarithmic, there are two options: import matplotlib. The only thing you need to do is just to plot your x-values as str, not int: plot (x. , try with multiple formats to display the plot in best format. array([[5,7],[4,6],[8,3]]) Jul 1, 2017 · That's the way matplotlib works. 例えば、次のようにプロットすると細かい目盛りが付いてしまい、全ての文字列を設定するのが Apr 24, 2017 · When I add c to a pandas plot, x tick labels disappear. plot - secondary_y. I added a few lines on using subplots and changing the xticklabels. plot(x, y) plt. You can use a MaxNLocator from matplotlib. plot(kind="bar") ax. Get or set the current tick locations and labels of the y-axis. Which it will be KP40, KP08, etc Texts for labeling each tick location in the sequence set by Axes. Sample raw data: Resampled by hour: Output: If I just do this: hourly_count. Plot g dataframe. tick_params. random. Let’s break it down. Interestingly though, pandas plotting methods are really just convenient wrappers around existing matplotlib calls. Series. I want to increase the font sizes of the y-axis tick params, but it seems that only the left side y-axis font size is increasing. I have a plot with a left and right y-axis created with pandas. set_xticklabels([t if not i%5 else "" for i,t in enumerate(ax. I want just to use the values from column C to rename the values in x-axis. One common cause for unexpected tick behavior is passing a list of strings instead of numbers or datetime objects. Create index value with 1000 smaples data. set_xticks(range(len(df)), labels=range(2011, 2019)) Date tick labels. %matplotlib inline import matplotlib. Make a one-dimensional ndarray with axis labels. I believe you should use the add_subplot() command, it gives you more control over figures and limit the plt API commands to the intent figure. pyplot expects an array for the values to display as first argument and an array with labels for those elements in the first array. ; Have the labels in the center of each bar. log10(x) pltメソッドとオブジェクト指向でそれぞれ The index is a date (1-1 to 12-31) s1. 25, so the labels would read 1,2,3,4,5 etc. Dec 22, 2017 · Stacked bar plot with group by, normalized to 100%. There is also a nice tutorial about this. 18. DataFrame( {'mean': {0: 10, 1: 16, 2: 18 pandas. So add the following to your code: plt. index, df['m_srcaddr'], rotation=90) The first argument gives the locations to put the ticks ( df. set_xticklabels(df['Month'], rotation=45) - by using additional method applied on plot object * plt. Oct 24, 2018 · The xticks method of matplotlib. Plotting time in x axis using matplotlib. arange(50)-0. plot and specifying secondary_y=True. Colormap to select colors from. To solve the issue of customisation and appearance of the ticks, see the Tick Locators guide on the matplotlib website. By default, matplotlib is used. Just change your xticks call to: plt. plot ¶. figure(figsize=(20,5)) # Plot the x and y values on the graph plt. Set axis labels. python. tick_params(. 5. Locators and Formatters are meant to be easily replaceable, with appropriate methods of Axis. 0 etc. plot(x, y) # Here you specify the ticks you want to display # You can also specify rotation for the tick labels in degrees or with keywords. Since you have only 5 major ticks in your first plot, you only create 5 labels as 0, 1, 10, 100, 1000 as per your definition. index here is equivalent to np. More information can be found: DataFrame. # get the current labels. from matplotlib import pyplot as plt. arange(2000, 2020, 2)) sets the ticks to be at positions 2000, 2002, etc. A plot where the columns sum up to 100%. You can see that the bars are actually positionned at integer values starting at 0 by using a normal ScalarFormatter on the axes: ax3 = df. Dec 31, 2022 · plt. Here is my test code: Graph with strange dates on xaxis Jun 12, 2018 · Thanks, that's what I was looking for, it's a lot cleaner than randomly looping. arange(n) Jul 9, 2020 · 2. MaxNLocator(3)) would set the total number of ticks in the x-axis to 3, and evenly distribute them across the axis. get_text() for item in ax. xticks([3, 5, 7], ["a", "b", "c"]) 各リストの中身が対応していることが確認できます。 最初の3はaに、5はbに、7はcに変更されました。 このように、xticks、yticksを使うと目盛りの表示名を変更することができます。 Mar 27, 2018 · 1. import datetime. By default, the custom formatters are applied only to plots created by pandas with DataFrame. plt. set_xticklabels ()では、目盛りを全体の文字列を順次指定する必要があるため、目盛りがたくさんあると、一部の目盛りだけを変更したい時などに面倒です。. Rotation for ticks (xticks for vertical, yticks for horizontal plots) it also uses per default index as ticks for x axis: use_index: boolean, default True. xticks([i for i in range(len(all_years))], all_years, rotation = '65'). 和一个可选参数。. bar() May 8, 2014 · If you want to use the same figure created by pandas you cannot create a new one (see below). set" takes the xticks argument. aggregate (np. plot(kind='bar',figsize=(15, 7)) Now I would like the x-interval to be in increments of 1 rather than 0. Method 1: Using xticks() and yticks(). backend. 如果一个空列表作为参数传递，那么它将删除所有xticks. xticks(seq) where the sequence seq can be pd. But when I make the plot, the tick labels don't align with the corresponding data for that date. The axis Locator is replaced by a FixedLocator. The hacky way that solved it for me was the following: ax = <whatever your plot is>. You can set the ticks positions manually adding plt. semilogx (x,y) If you do not need to set the xticks, this two are both fine. set_fontsize(14); But the first value of my xticklabels is removed in the resulting plot: I tried several options, even just set ax. If necessary, the view limits of the Axis are expanded so that all given ticks are visible. xticks(x[::5], rotation='vertical') # Add margins (padding) so that markers Enter search terms or a module, class or function name. linspace(1, 35086, 5) for example, or given manually like: seq = [1, 10000, 20000, 35086] The final code would be: matplotlib. Nov 27, 2021 · 2. Specify relative alignments for bar plot layout. dates as mdates. xticks(positions, labels) Where positions is the array of the values you want to display, and labels the labels you want to give to those values. xticks() and yticks() is the function that lets us customize the x ticks and y ticks by giving the values as a list, and we can also give labels for the ticks, matters, and as **kwargs we can apply text effects on the tick labels. plot(). plot (kind='line') is equivalent to df. pandas. Passing an empty list removes all yticks. ticks:该参数是xtick位置列表。. dates locators and formatters. The labels are used as is, via a FixedFormatter (without further formatting). 0. set_xticklabels to reset the labels of the already existing xticks. Create a bar plot. As an example, i had a pandas dataframe column with integers 1 to 18 shown as 1. pyplot as plt. set_xticklabels) or. If the categories are dates and those dates are continuous one may aim at leaving certain dates out, e. Jan 5, 2017 · 6. mean) ax = sub_data. axis='x', # changes apply to the x-axis. Timestamp('2015-02-15'), pd. plot (x,y) ax. dates module provides the converter functions date2num and num2date that convert datetime. Make plots of DataFrame using matplotlib / pylab. Related. 2 , matplotlib 3. xticks () @Yiann If your question is solved, say thank you by accepting the solution that is best for your needs. Here are the fixes for your options: Option 1 (with strftime ): you can use set_xticks to also enforce the correct tick positions. The x and y Axis on each Axes have default tick "locators" and "formatters" that depend on the scale being used (see Axis scales). date, not datetime. dayofweek. set_major_locator(plt. pyplot as plt data = ''' name value "CHEMICAL AND TREATMENT PRODUCTS" 148 "NETWORK EQUIPMENTS AND METERS" 103 "PLANT AND PROCESS EQUIPMENTS AND MAINTENANCE" 54 "MEMBRANES AND MEMBRANES HOUSING" 23 軸・軸目盛・目盛り線の解説で使用する基本グラフを作成します。. Matplotlib date plotting is done by converting date instances into days since an epoch (by default 1970-01-01T00:00:00). Adjust timestamps on x-axis - Matplotlib. 8,color=an_c,label='angekommen') This works ok So basically I want my xticks to be the 'dayofweek' column and their labels to be the corresponding index. plot() pd. I'm trying to plot a histogram of the timedelta column to visualize the time differences between the two events. 34. xticks( New in version 0. set_xticklabels([1,2,3,4,5,6,7,8]), but the first value is removed every time. Oct 16, 2018 · I'm working with same date which has the following structure: I want to group the data by the column B ,and get the mean value for plot and compare. linspace(1, 1000) y = np. To limit the number of ticks or control their frequency, some explicit actions must be taken Table of Contents show 1 Sample Data via Random Number Generation 2 Control […] Aug 24, 2018 · It is mathematically not possibly from this equation. ax. hist(data, bins=np. sca to set the current axes for the pyplot state machine (i. plot(df1. If I do not set xLabels (comment out the line where I have the x. DataFrame. From 0 (left/bottom-end) to 1 (right/top-end). The matplotlib. plot(kind='line') is equivalent to df. pandas plot xticks on x-axis. size: vertical and horizontal size of the plot. The plt. gna_plot[['Forecast', 'Off', 'Ans']]. Use plt. I have a pandas dataframe that has two datetime64 columns and one timedelta64 column that is the difference between the two columns. The accept check is below the up/down arrow at the top left of the answer. Apr 28, 2017 · Note that plt. Sep 15, 2015 · 11. If string, load colormap with that name from matplotlib. The answer above is probably the correct way to do it, but didn't work for me. pyplot. Aug 16, 2017 · above code produce following graph where i have dates in x axis but the problem is that as you can see days have very small size but JUL and AUG are bigger i have tried different font sizes for xticks and tick_params but have not seen any major change. fig = plt. xticks = ['A','B','C'] Scores = np. #. Follow asked Dec 21, 2019 at 22:43. ticker for the major ticks (decades) and manually set specific minor ticks with a FixedLocator. Mar 15, 2018 · In general, the Axis object computes and places ticks using a Locator object. I'm new to Pandas and matplotlib and want to plot this DataFrame. Note that there is also ax. . changing the xticks on a python plot. xticks(ticks=None, labels=None, *, minor=False, **kwargs) [source] #. datetime64 objects to and from Matplotlib's internal representation. Change the appearance of ticks, tick labels, and gridlines. Sep 20, 2023 · You can use the set_xticks() and set_yticks() functions on the returned Axes instance when adding subplots to a Figure. 3. If there are more labels, they will overlap. plot(), maybe change the plot size, everything works. You create a figure of given size and put the plot into it. Using these lines of code: item. labels = [item. Only used if data is a DataFrame. You can additionally specify which='major' or which='minor' or which='both' depending on if you want to change major, minor or both tick labels. x_=frame. pyplot as plt import numpy as np x = np. In most cases, you'll want to use set_xticks(positions, labels) instead. This code turns off major and minor ticks and removes the labels from the x-axis. g. DataFrame without specifying the xtick interval: speed. Pass an empty list ( set_xticks([])) to remove all ticks. Jul 11, 2015 · I have an existing plot that was created with pandas like this: df['myvar']. Fixing too many ticks. import pandas as pd import numpy as np import io from textwrap import wrap import matplotlib. xlabel or position, default None. Input: df: pandas DataFrame. Does anyone know how to add them back? import pandas as pd df = pd. 12. It's better if the tick labels are evenly spaced: Jun 4, 2018 · Pandas bar plots are categorical plots. The object for which the method is called. 1 From the OP: No sample data Now if you plot, it will look like this - plt. new_series = your_pandas_dataframe. Matplotlib treats lists of strings as categorical variables ( Plotting categorical variables ), and by default puts one Mar 27, 2019 · 106. Aug 17, 2021 · I was recently creating visualizations in Seaborn, which is based on Matplotlib, and when labeling the x-axis, I wasn’t getting the results I was expecting. rand(10) plt. values anbar=ax. 0: Each plot kind has a corresponding method on the DataFrame. Jul 6, 2018 · 11. Apr 12, 2020 · Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. plot. . head(10). groupby ( ['B']). get_xticklabels To plot a Pandas multi-index data frame with all xticks, we can take the following steps −. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. get_xticklabels(), rotation=90) Another way of doing the above: for tick in ax. If you want to control the size of both x and y axis, use axis='both'. plot(*args, **kwargs) [source] #. get_fignums() method Jan 9, 2021 · You can solve this problem by introducing a library called 'textwrap'. The benefit of it is that now you can easily control the density of xticks, if we want to have a tick every hour, we will insert these lines after plot_date: ##import it if not already imported. plot () interprets the dates and assigns them to axis values as such: I would like to modify the major ticks to be the 1st of every month and minor ticks to be the days in between. Jul 10, 2023 · One way to set x-axis intervals (ticks) is to use the xticks () function from the matplotlib library. May I know any solution to fix it? from pandas_datareader import data import datetime tickers = 'AAPL' dateToday = datetime. I have a pandas dataframe with two columns of data and corresponding date times in another column. user8270077 user8270077. plot() command, otherwise pandas will automatically reset the Jul 20, 2019 · You need to use the x_compat=True argument to have pandas choose the units in a way that they are compatible with matplotlib. I solved it like so: g. line1) and matplotlib. DataFrame. Plotted figures will often reflect automatically-determined axis markers (a. plot accessor: df. pyplot will automatically take care of the date. Option 2 (with mdates ): you should a) specify a MonthLocator and b) you need to convert your index so you they are datetime. from matplotlib. Array of tick locations (either floats or in axis units). Timestamp('2015-07-01')) ax. Use index as ticks for x axis Apr 27, 2021 · I plot a chart with matplotlib but the x-ticks are too crowded. 2. Axes objects. figure(figsize=(10, 8)) Sep 28, 2023 · To rotate the X-axis tick labels in a Pandas plot, you can use 3 different ways: * df. set_xscale ('log') or. These change the formatting of the axis labels for dates and times. import pandas as pd. Uses the backend specified by the option plotting. xticks(np. get_xticklabels()] labels. In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax and Dec 21, 2019 · pandas; plot; xticks; Share. xticks(df. plot). Showing both the value and index in the x-ticks in a plot. sub_data = data_composite. df. 5) to get center-aligned bins, etc. xticks(rotation=90) In case of using pandas or seaborn to plot, assuming ax as axes for the plot: ax. First, create a new series by converting the pandas datetime64 index to a Python datetime. For the current style settings, see Axis. yticks. This function takes two arguments: the first argument specifies the locations of the ticks, and the second argument specifies the labels for the ticks. However, it needs a slight adjustment for the position: using xticks=l will make the ticks shift on the right since my starting data point is 21. The second argument gives the tick labels. lineplot(data=df) ax. Remove Xticks. tick marks) based on values passed from datasets. figure(figsize=( 12, 6 )) 1. get_tick_params. Dec 5, 2019 · I have tried changing the ha to right and left as well as center, and this does not help. I cannot figure out how to change the xtick frequency with time data. datetime. Short answer: Use plt. set_xticklabels is now discouraged, but the method will remain for backward compatibility. hist(). plot, and then set the major tick labels. xticks(x); the x-tick labels are unreadable at some points. Import libraries pandas and matplotlib. Try this function, which also displays variable names for the correlation matrix: def plot_corr(df,size=10): """Function plots a graphical correlation matrix for each pair of columns in the dataframe. how can i change the code to have day numbers as big as JUL and AUG? Sep 11, 2023 · pandas provides custom formatters for timeseries plots. Allows plotting of one column versus another. to plot only every fifth category, ax = series. ticker import FixedLocator, MaxNLocator. The pandas library has become popular for not just for enabling powerful data analysis, but also for its handy pre-canned plotting methods. pyplot as plt fig, ax = plt. In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax and sharex Jul 10, 2015 · You can just use ax. get_xticklabels(): tick. matplotlib. tick_params for matplotlib. 9,3. You may of course change the figure size after creation; find out the space the longest label takes, multiply it with the number of labels, add the margin and set this as the new figure size. get_text() for item in x. import pandas as pd import numpy as np # sample dataframe sample_length = range (1, 2+1) rads = np Apr 15, 2021 · Try plotting x axis labels with matplotlib. gca(). plot () Obtaining: However, I would like to get the correspondent xticks in the figure. a = np. Use DataFrame index as x-axis ticks. None of the issues discussed in some of the other answers are faced in this solution. get_xticklabels()] # Beat them into submission and set them back again. Mar 15, 2020 · axes. Parameters: Jun 12, 2018 · plot with Pandas, xticks. plot(kind='bar') The y axis is format as float and I want to change the y axis to percentages. If you want your bars side by side, you also have to specify x values in the bar plot and shift all x values by a constant in the second bar Similarly, for the y-axis: How to remove or hide y-axis ticklabels from a matplotlib / seaborn plot? Tested in python 3. 1,4,5,6,7,8,9,10] y = np. labels:该参数包含要放置在给定刻度位置的 df. season won team matches pct_won. Jun 14, 2019 · The use of this method is discouraged because of the dependency on tick positions. For example, in the following case: x = [1,2. They create one tick (+label) for each category. randint(10, 30, 12), line2=np. But the frequency of the xtick marks is not zoomed in enough. ) Here we are intending to modify some of the tick labels in Matplotlib but with no side effects, which works clean and which preserves offset scientific notations. Oct 18, 2012 · By using the 'xticks' parameter, I can pass the major ticks to pandas' . set_major_locator. date_range('2015-01-01', periods=12, freq='MS'), line1=np. However your plot ranges from 0 to 4, because that is the index of the dataframe. Show the plot. You confound a histogram with a bar plot. Jun 12, 2014 · You can do it within Pandas plotting function like: df. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc. Axis ticks#. bincount) that I'll show at the end. If you want to use pandas, this is going to be very easy: import matplotlib. The only con so far I found in this method is that you need to tweak your labels 3-4 times i. np. # ranges from mid-February till 1st July. There are two ways: Use the axes methods of the subplot object (e. Improve this question. 1. set_ylim(-5, 5) Result: Note that if you plot multiple time series in the same figure then make sure to set xlim/ylim after the last ts. As a general solution, I have found the following method to be an easy way to bring a Pandas datetime64 index into a matplotlib axis label. I want to make a line plot for the two sets of data and have the date times, which is a list of strings, as the x-axis tick labels. date, df1. col. plot(somecol, df['val']) This method works well if you don't want to rotate your labels. set_xticks and ax. import matplotlib. Errors abound regardless of the recipe. Now set_xticks includes a new labels param to set ticks and labels simultaneously: ax = sns. As an example (this also illustrates using setp to change the properties of all of the subplots): import matplotlib. import numpy as np. axes. hist(data, bins=range(50)) instead to get left-aligned bins, plt. arange(50) Setting xticks using the values that are not evenly spaced makes a "bad" plot sometimes. tick_params method is very useful for stuff like this. set_ticks ( [0, tick_limit Dec 15, 2020 · Plotting data in Python is easy when using Matplotlib. xticks(x, labels=l) Using ax. The labels to place at the given ticks locations. scatter(x, y) plt. An alternate solution could be as below: x = df['Date'] y = df['Value'] # Risize the figure (optional) plt. line(). Example: Plot percentage count of records by state The problem here is that a) matplotlib/pandas don't have much support for timedelta objects and b) you cannot use the HourLocator with your data because after conversion to a datetime object, your axis would be labelled 0, 8, 16, 0, 8, 16 Sep 10, 2019 · plt. set(xticks=[x - l[0] for x in l], xticklabels=l) – Sep 20, 2022 · plot. xticks has always had this functionality: plt. seed(0) df1 = pd. Here is a solution that only uses plt. If you then put a tick only on every tenth bar, the second label will be placed at the tenth bar etc. randint(20, 25, 12))) Out[64]: date line1 Feb 25, 2022 · I am plotting daily data directly using the pandas DataFrame plotting method as shown below. pyplot as plt # your data # ===== np. 11 , pandas 1. Jan 2, 2021 · 1. line( figsize=(10,8), title='Figure Title', xlabel='Year, Month', xticks=range(len(df)), rot=90 ) Where: xticks is the parameter where you set the frequency of the ticks on the abscissa; rot rotates the abscissa labels by 90 degrees Nov 28, 2021 · In this article, we will see how to change the number of ticks on the plots in matplotlib in Python. Let's break this down in two parts: Have the x-axis to be labelled 0 1 2 3. All of the solutions I found use ax. xaxis. Let's create a Figure with two axes and change the tick frequency on them separately: import matplotlib. I decided to take a step back and experiment to see what xticks and xticklabels actually do in a visualization. 17. Create a sample DataFrame. plot(kind='bar', rot=0) - pass the parameter to plot functions applied to DataFrame * ax. xyz syntax and I can only place code below the line above that creates the plot (I cannot add ax=ax to the line above. Pass no arguments to return the current values without modifying them. Dec 15, 2017 at 20:20. To display the figure, use show matplotlib. import matplotlib as mpl. plot() ax. Similar to the example above but: normalize the values by dividing by the total amounts. plot(range(10)) plt. Sep 9, 2022 · Xticks by pandas plot, rename with the string. line (). plot(ax=ax, x_compat=True) Oct 19, 2023 · Steps to plot 2 variables. datetime class. matplotlib库的pyplot模块中的annotate ()函数用于获取和设置x轴的当前标记位置和标签。. The default Locator does not seem to be doing the trick for you so you can replace it with anything you want using axes. I tried adding a range to the hist and a xlim and this did not help. ax = ts. bar(x_,y_an,width=0. set_xticklabels(ax. This is an annoying issue I posted about in more detail. Moreover, 10000 is not displayed because you just use ax. the plt interface). 2 , seaborn 0. 6. subplots () ax. まずはモジュールを読み込み、サンプルデータを作成します。. set(xticks=list(range(1,19))) Hope this is useful. I can't work out how to do the minor ticks using this approach (I can set the labels on the default minor ticks set by pandas' . plot() s2. ls de pe kg mj al xr yd xc cg