使用 Matplotlib 更改 x-ticks（字符串）中的名称

Question

I am just starting with Matplotlib, and I want to create a simple bar plot with summarized data (I am using Jupyter Notebooks). The data are as follows:

From a Pandas data frame:

by_gender = df.groupby(["Gender"])["Value"].mean().reset_index()

Result upon which I want to create the bar plot:

Gender  Value
0   F   22.936350
1   M   15.897205

The code goes as follows:

import matplotlib.pyplot as plt

x = by_gender["Gender"]
y = by_gender["Value"]
plt.bar(x, y, label = "Proportion", color = "#468499")
plt.title("% respondents accepting violence against women, by gender")
plt.xlabel("Gender")
plt.ylabel("Proportion %")
plt.legend()
plt.show()

This gives me the plot, no problem. But now I want to change the x-ticks from "F" and "M" to "Female" and "Male."

I have googled A LOT, and tried all the functions I have found, including:

plt.xticks()
plt.set_ticks()
plt.set_xticks()
plt.set_xticklabels()

...and it gives me the same error no matter what:

 AttributeError: module 'matplotlib.pyplot' has no attribute 'set_xticks' 

(substitute "set_xticks" for anything I proposed above)

I tried changing the intervals of the y-axis ticks just for kicks, and it gave me the same error. Is there anything wrong with how I am creating the plot? I also tried creating a subplot, creating the variable fig...and nothing helps.

Thank you for your help.

Answer 1

You should manipulate the axis instead, as in:

fig, ax = plt.subplots()
ax.bar(x, y, label = "Proportion", color = "#468499")
ax.set_title("% respondents accepting violence against women, by gender")
ax.set_xlabel("Gender")
ax.set_ylabel("Proportion %")
ax.legend()
ax.set_xticklabels(['Female', 'Male'])
plt.show()