how to label axis with all the row names from dataframe

问题

I have the dataframe that contains about 430 rows:

     name         Right_Answers  Wrong_Answers
    Alice Ji      7                6
    Eleonora LI   2                5
    Mike The      6                5
    Helen Wo      5                3

for visualize the number of right (red) and wrong (blue) answers I'm using the matplotlib library with following functions:

g=df.plot(x='name', color=['b','r'], figsize=(100,50))  
ax.xaxis.set_major_locator(MultipleLocator(0.1))
labels = df.name.values[:]
ax = plt.gca()
ax.set_xticklabels(labels, rotation=90)

but I have always only 8 names as labels on X axis, instead of 430 (rotated vertically, so there are enough of space for much more row names)! why it happens? I thought this method put all the row names on axis labels = df.name.values[:] but apparently not. do you know other solution for this problem? I'm ready to try another libraries as seaborn or ggplot, even if I haven't found them very comfortable for dataframe compared with matplotlib

回答1:

Assuming your data is in a dataframe, you can use Pandas' built-in plotting methods, e.g.:

df.plot(kind='bar', color=['red', 'blue'])

回答2:

Try this (iPython notebook):

import pandas as pd
import matplotlib.pyplot as plt

%pylab inline
mydata = [{'Name':'John', 'TRUE_ANSWER': 75, 'FALSE_ANSWER':25},
          {'Name':'Mike', 'TRUE_ANSWER': 60, 'FALSE_ANSWER':40},]
df = pd.DataFrame(mydata)
columns = ['Name','TRUE_ANSWER', 'FALSE_ANSWER']
df = df[columns]
df.index=df["Name"]
df.plot(kind='bar')

I think that trying to do the cumulative chart chart you asked me about in question plotting & formatting seaborn chart from pandas dataframe will not work with your set. Hope this helps.

来源：https://stackoverflow.com/questions/33763678/how-to-label-axis-with-all-the-row-names-from-dataframe