pandas object to float

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showing results for - "pandas object to float"
Safa
15 Jul 2016
1df["data"] = df["data"].astype(float)
2
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Julián
30 Aug 2017
1# convert all columns of DataFrame
2df = df.apply(pd.to_numeric) # convert all columns of DataFrame
3
4# convert just columns "a" and "b"
5df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)
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Nathanael
24 Feb 2017
1df_raw['PricePerSeat_Outdoor'] = pd.to_numeric(df_raw['PricePerSeat_Outdoor'], errors='coerce')
source
Leny
30 Aug 2017
1df['DataFrame Column'] = df['DataFrame Column'].astype(float)
2
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Allison
10 Feb 2016
1In [39]:
2
3df['2nd'] = df['2nd'].str.replace(',','').astype(int)
4df['CTR'] = df['CTR'].str.replace('%','').astype(np.float64)
5df.dtypes
6Out[39]:
7Date         object
8WD            int64
9Manpower    float64
102nd           int32
11CTR         float64
122ndU        float64
13T1            int64
14T2            int64
15T3            int64
16T4           object
17dtype: object
18In [40]:
19
20df.head()
21Out[40]:
22        Date  WD  Manpower   2nd   CTR  2ndU   T1  　　T2   T3     T4
230   2013/4/6   6       NaN  2645  5.27  0.29  407   533  454    368
241   2013/4/7   7       NaN  2118  5.89  0.31  257   659  583    369
252  2013/4/13   6       NaN  2470  5.38  0.29  354   531  473  　　383
263  2013/4/14   7       NaN  2033  6.77  0.37  396   748  681    458
274  2013/4/20   6       NaN  2690  5.38  0.29  361   528  541    381
28
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