步骤1，创建一个示例数据import pandas as pd
# Create sample CSV-file (100×100)
df = pd.DataFrame(np.arange(10000).reshape(100,100))
df.to_csv(‘test.csv’, index=False)
第二步import pandas as pd
import numpy as np
# Read first row to determine size of columns
size = pd.read_csv(‘test.csv’,nrows=0).shape[1]
#want to remove columns 25 to 29, in addition to columns 3 to 18 already specified,
# Ok so let’s create an array with the length of dataframe deleting the ranges
ranges = np.r_[3:19,25:30]
ar = np.delete(np.arange(size),ranges)
# Now let’s read the dataframe
# let us also skip rows 2 and 3
df = pd.read_csv(‘test.csv’, skiprows=[2,3], usecols=ar)
# And output
dt.to_csv(‘output.csv’, index=False)
