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How to select rows from a DataFrame based on column values?
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4135
To select rows whose column value equals a scalar, some_value, use ==:
df.loc[df['column_name'...
Difference between map, applymap and apply methods in Pandas
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Straight from Wes McKinney's Python for Data Analysis book, pg. 132 (I highly recommended this book):
Another frequent operation is applying a function on 1D arrays to each column or row. DataFrame’s apply method does exactly this:
In [116]: frame = DataFrame(np.random.randn(4, 3),...
Regular expression for matching latitude/longitude coordinates?
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Miha_x64
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answered Aug 19 '10 at 3:38
Eric CEric C
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Why does (0 < 5 < 3) return true?
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443
Order of operations causes (0 < 5 < 3) to be interpreted in javascript as ((0 < 5) <...
Convert floats to ints in Pandas?
...f= pd.DataFrame(range(5), columns=['a'])
df.a = df.a.astype(float)
df
Out[33]:
a
0 0.0000000
1 1.0000000
2 2.0000000
3 3.0000000
4 4.0000000
pd.options.display.float_format = '{:,.0f}'.format
df
Out[35]:
a
0 0
1 1
2 2
3 3
4 4
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Replace all 0 values to NA
...me space for it. E.g.,
data.frame(x = c(1, NA, 2))
# x
# 1 1
# 2 NA
# 3 2
Also, the data frame structure requires all the columns to have the same number of elements so that there can be no "holes" (i.e., NULL values).
Now you could replace zeroes by NULL in a data frame in the sense of com...
How do you round a floating point number in Perl?
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13 Answers
13
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Frequency table for a single variable
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153
Maybe .value_counts()?
>>> import pandas
>>> my_series = pandas.Series([1,2,2...
Reference — What does this symbol mean in PHP?
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edited Nov 12 '18 at 8:39
community wiki
16 ...
Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
...t once. This should give you the result you need:
df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])
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