有没有办法绘制与相同颜色同名的列？

Question

我正在尝试绘制一个包含许多同名列的数据集。我试图重用我之前制作的绘图程序，但问题是它以不同的颜色绘制每一列，而不是我希望 same name 的每一列都是 same颜色。此外，它将每一列添加到图例中，导致我附上的图中出现很多混乱。有没有办法只为每种颜色贴一个标签？任何解决这些问题的帮助将不胜感激！

Here is an example plot 如您所见，它没有将两个“O”绘制为一种颜色，而是将其绘制为两个，因为有两列数据，并在图例中创建了一个副本。

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

s = pd.read_csv('Edit_This.csv') # reads the .csv file can be found in dropbox > shared manuscripts > Ravi Ben MoOx Nucleation and LEIS > Figures

xmin = 0 # Change these bounds as needed
xmax = 1
ymin = 0
ymax = 2500

y_axis_columns = s.columns[1:] # Reads column data to plot y values from index 1 onwards

for col_name in y_axis_columns: # Loop to plot all columns until it finds an empty one
   plt.plot(s.depth,s[col_name], label=col_name)
   plt.tight_layout()
   from matplotlib.ticker import MaxNLocator
   axes = plt.gca()
   axes.yaxis.set_major_locator(MaxNLocator(integer=True))
   axes.set_xlim([xmin,xmax])
   axes.set_ylim(ymin,ymax)
   plt.xlabel('Depth (nm)', fontsize=12) # Edit as needed
   plt.ylabel('Intensity (counts/nC)', fontsize=12) 
   plt.legend(loc='upper center', fontsize=10) # Defines legend formatting
   plt.savefig("6_Sputter1_5-222cyc_SiOx.png", dpi = 1200) # Edit export file name and DPI here
plt.show()

你可以从这个link下载数据

Answer 1

好的，问题出现了，因为您有多个具有相同名称的列。所以，你需要处理它。下面的代码就是这样做的：

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D

s = pd.read_csv('Edit_This.csv') # reads the .csv file can be found in dropbox > shared manuscripts > Ravi Ben MoOx Nucleation and LEIS > Figures

xmin = 0 # Change these bounds as needed
xmax = 1
ymin = 0
ymax = 2500

y_axis_columns = s.columns[1:] # Reads column data to plot y values from index 1 onwards


# this is the color dictionary
colors = {"O": 'r', "Mo": 'b', 'Al':'g'}

for col_name in y_axis_columns: # Loop to plot all columns until it finds an empty one
   plt.plot(s.depth,s[col_name], label=col_name, color=colors[col_name.split('.')[0]])
   plt.tight_layout()
   from matplotlib.ticker import MaxNLocator
   axes = plt.gca()

axes.yaxis.set_major_locator(MaxNLocator(integer=True))
axes.set_xlim([xmin,xmax])
axes.set_ylim(ymin,ymax)
plt.xlabel('Depth (nm)', fontsize=12) # Edit as needed
plt.ylabel('Intensity (counts/nC)', fontsize=12) 

# Defines legend formatting
custom_lines = [Line2D([0], [0], color='r', lw=4),
                Line2D([0], [0], color='b', lw=4),
                Line2D([0], [0], color='g', lw=4)]
plt.legend(custom_lines, ['O', 'Mo', 'Al'], loc='upper center', fontsize=10)

plt.savefig("6_Sputter1_5-222cyc_SiOx.png", dpi = 1200) # Edit export file name and DPI here
plt.show()

生成以下图像：