我有以下代码。它使用Matplotlib wrapper in Pandas:
import pandas as pd
import io
import matplotlib
import matplotlib.pyplot as plt
test=u"""Cell,Value
Bcells,0.056304
DendriticCells,0.3155388
Macrophages,0.131430
"""
tableau10=[ "#17BECF", "#BCBD22", "#7F7F7F", ]
toplot_df = pd.read_csv(io.StringIO(test))
toplot_df.set_index('Cell',inplace=True)
xlabels = toplot_df.index.values
barplot = toplot_df.plot(kind="bar", figsize=(17,17), \
color = tableau10, \
width=0.7,\
fontsize = 30,\
legend=False,
ylim = (0,0.5),
subplots=False)
ax = plt.gca()
ax.set_xticklabels(xlabels, rotation=30, ha='right')
# How to to make this to the back
plt.axhline(y=0.1, linewidth=1, color='r',zorder=1)
plt.xlabel("")
plt.ylabel("Score", fontsize=30, fontweight="bold")
它使这个数字:
如那里所述。如何将
axhline
设置为背景?我尝试了
zorder
,但无法正常工作。 最佳答案
您只需要使zorder
的barplot
高于zorder
的axhline
即可。在您的示例中,我只需要在zorder=2
调用中添加barplot = toplot_df.plot()
选项即可。
import pandas as pd
import io
import matplotlib
import matplotlib.pyplot as plt
test=u"""Cell,Value
Bcells,0.056304
DendriticCells,0.3155388
Macrophages,0.131430
"""
tableau10=[ "#17BECF", "#BCBD22", "#7F7F7F", ]
toplot_df = pd.read_csv(io.StringIO(test))
toplot_df.set_index('Cell',inplace=True)
xlabels = toplot_df.index.values
barplot = toplot_df.plot(kind="bar", figsize=(17,17), \
color = tableau10, \
width=0.7,\
fontsize = 30,\
legend=False,
ylim = (0,0.5),
subplots=False,
zorder=2) ##### This is all I added
ax = plt.gca()
ax.set_xticklabels(xlabels, rotation=30, ha='right')
# How to to make this to the back
plt.axhline(y=0.1, linewidth=1, color='r',zorder=1)
plt.xlabel("")
plt.ylabel("Score", fontsize=30, fontweight="bold")
plt.show()
关于python - 如何将axhline发送到Matplotlib的barplot的背面,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/37410614/