On 4/6/2020 11:05 PM, Luca wrote:
On 4/6/2020 8:51 PM, Reto wrote:
out = df.to_csv(None)
new = pd.read_csv(io.StringIO(out), index_col=0)
Thank you, brother. It works
BTW, a little gotcha (I write this in case someone gets here in the
future through Google or something)
"""
import pandas as pd
import numpy as np
import io
df = pd.DataFrame(10*np.random.randn(3,4))
df = df.astype(int)
out = df.to_csv(None)
# out == ',0,1,2,3\n0,9,4,-5,-2\n1,16,12,-1,-5\n2,-2,8,0,6\n'
new = pd.read_csv(io.StringIO(out), index_col=0)
#gotcha
type(df.iloc[1,1]) # numpy.int32
type(new.iloc[1,1]) # numpy.int64
"""
new == out will return a dataframe of False
0 1 2 3
0 False False False False
1 False False False False
2 False False False False
Thanks again
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