Pandas的数据拼接——concat函数
# 在pandas里提供concat函数可以将形参给出的列表里的各个pandas的数据拼接成一个大的数据。# Series的拼接
import numpy as np
import pandas as pd
s1 = pd.Series(np.arange(2,6))
s2 = pd.Series(np.arange(8,12))
sc = pd.concat()
print(sc)
# 两个DataFrame的拼接 1). label和columns均相同的情况下：
col = "hello the cruel world".split()
idx = ["a", "b", "c", "d"]
val1 = np.arange(16).reshape(4, 4)
val2 = np.arange(20, 36).reshape(4, 4)
df1 = pd.DataFrame(val1, index = idx, columns = col)
print (df1)
df2 = pd.DataFrame(val2, index = idx, columns = col)
print (df2)
df12 = pd.concat()
print (df12)
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