从熊猫读取csv文件并绘图

Question

I have 1000 files in which the data is stored in comma separation. The description of a file is given below:

The values are comma separated, -9999 values should be ignored and if it can be read, all the values of row and column should be stored in numbers, as it has to used in plotting. The shape of file is [ 104 rows x 15 columns ].

The few lines of the files are as follows:

0,   9.8597e+00, 129.944,   1.071, 6.7433e-06, 1.0911e-05,      -9999,      -9999, 3.7134e-07, 3.5245e-05,      -9999,      -9999,  26.295,   -86.822,  -123.017



0,   8.7012e+00, 130.908,   0.966, 1.9842e-06, 1.0799e-05,      -9999,      -9999, 3.5888e-07, 7.8133e-05,      -9999,      -9999,  27.140,   -86.818,  -122.322

After reading into numeric values, I need to plot it into subplot also. Like COl1 vs Col2 , Col3 vs col5 and so on....

Any idea how to achieve it?

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

df1=pd.read_csv("small_file_106.txt",header=1)
print(df1)

Answer 1

I never used plot ,but following would be useful for the first question input the list of values to na_values and those will be considered as NA by pandas

pd.read_csv(File, sep=',',na_values=['-9999'],keep_default_na=False)

Also pd.to_numeric is available to convert data to numeric

df.apply(lambda x: pd.to_numeric(x, errors='ignore'))

Answer 2

读完（Shijo的方法看起来不错）中的数据后， Seaborn库的对图应生成所需的图。