Add x and y labels to a pandas plot

Question

Suppose I have the following code that plots something very simple using pandas   import pandas as pd values     1  2    2  5   df2   pd DataFrame values  columns   Type A    Type B                        index   Index 1    Index 2    df2 plot lw 2  colormap  jet   marker      markersize 10            title  Video streaming dropout by category       How do I easily set x and y-labels while preserving my ability to use specific colormaps  I noticed that the plot   wrapper for pandas DataFrames doesn t take any parameters specific for that

User · Answer

It is possible to set both labels together with axis.set function. Look for the example:

import pandas as pd
import matplotlib.pyplot as plt
values = [[1,2], [2,5]]
df2 = pd.DataFrame(values, columns=['Type A', 'Type B'], index=['Index 1','Index 2'])
ax = df2.plot(lw=2,colormap='jet',marker='.',markersize=10,title='Video streaming dropout by category')
# set labels for both axes
ax.set(xlabel='x axis', ylabel='y axis')
plt.show()

User · Answer

If you label the columns and index of your DataFrame  pandas will automatically supply appropriate labels   import pandas as pd values     1  2    2  5   df   pd DataFrame values  columns   Type A    Type B                       index   Index 1    Index 2    df columns name    Type  df index name    Index  df plot lw 2  colormap  jet   marker      markersize 10           title  Video streaming dropout by category       In this case  you ll still need to supply y-labels manually  e g   via plt ylabel as shown in the other answers

User · Answer

You can use do it like this   import matplotlib pyplot as plt  import pandas as pd  plt figure   values     1  2    2  5   df2   pd DataFrame values  columns   Type A    Type B                        index   Index 1    Index 2    df2 plot lw 2  colormap  jet   marker      markersize 10           title  Video streaming dropout by category   plt xlabel  xlabel   plt ylabel  ylabel   plt show     Obviously you have to replace the strings  xlabel  and  ylabel  with what you want them to be

User · Answer

In Pandas version 1 10 and above you can use parameters xlabel and ylabel in the method plot  df plot xlabel  X Label   ylabel  Y Label   title  Plot Title

User · Answer

The df plot   function returns a matplotlib axes AxesSubplot object  You can set the labels on that object   ax   df2 plot lw 2  colormap  jet   marker      markersize 10  title  Video streaming dropout by category   ax set xlabel  x label   ax set ylabel  y label       Or  more succinctly  ax set xlabel  x label   ylabel  y label     Alternatively  the index x-axis label is automatically set to the Index name  if it has one  so df2 index name    x label  would work too

User · Answer

what about      import pandas as pd import matplotlib pyplot as plt  values     1 2    2 5    df2   pd DataFrame values  columns   Type A    Type B    index   Index 1   Index 2      df2 plot lw 2            colormap  jet             marker                markersize 10            title  Video streaming dropout by category        set xlabel  x axis            ylabel  y axis     plt show

User · Answer

For cases where you use pandas DataFrame hist   plt   df Column A hist bins 10    Note that you get an ARRAY of plots  rather than a plot   Thus to set the x label you will need to do something like this  plt 0  0  set xlabel  column A

User · Answer

pandas uses matplotlib for basic dataframe plots  So  if you are using pandas for basic plot you can use matplotlib for plot customization  However  I propose an alternative method here using seaborn which allows more customization of the plot while not going into the basic level of matplotlib    Working Code   import pandas as pd import seaborn as sns values     1  2    2  5   df2   pd DataFrame values  columns   Type A    Type B                        index   Index 1    Index 2    ax  sns lineplot data df2  markers  True  ax set xlabel  xlabel   ylabel  ylabel   title  Video streaming dropout by category

[python] Add x and y labels to a pandas plot

Examples related to python

Examples related to pandas

Examples related to dataframe

Examples related to matplotlib