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Heatmap in matplotlib with pcolor?
... np
%pylab inline
page = urlopen("http://datasets.flowingdata.com/ppg2008.csv")
nba = pd.read_csv(page, index_col=0)
# Normalize data columns
nba_norm = (nba - nba.mean()) / (nba.max() - nba.min())
# Sort data according to Points, lowest to highest
# This was just a design choice made by Yau
# in...
Sorting a Python list by two fields
I have the following list created from a sorted csv
7 Answers
7
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Read file from line 2 or skip header row
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If you want to read multiple CSV files starting from line 2, this works like a charm
for files in csv_file_list:
with open(files, 'r') as r:
next(r) #skip headers
rr = csv.reader(r)
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How can foreign key constraints be temporarily disabled using T-SQL?
...NT ' + const.const_name + ' FOREIGN KEY (
' + const.parent_col_csv + '
) REFERENCES ' + const.ref_obj + '(' + const.ref_col_csv + ')
GO'
FROM (
SELECT QUOTENAME(fk.NAME) AS [const_name]
,QUOTENAME(schParent.NAME) + '.' + QUOTENAME(OBJECT_name(fkc.parent_object_id)...
jQuery Ajax File Upload
...t;
<th>Select File </th>
<td><input id="csv" name="csv" type="file" /></td>
</tr>
<tr>
<td colspan="2">
<input type="submit" value="submit"/>
</td>
</tr>
</table>
</for...
How to check the extension of a filename in a bash script?
...atement. I am sharing it here in case it helps someone. if [[ ( $file == *.csv ) || ( $file == *.png ) ]]
– joelostblom
Feb 7 '15 at 1:09
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How to convert comma-delimited string to list in Python?
...s
return res
# test the function.
delimeters = ',;- /|:'
# read the csv data from console.
csv_string = input('csv string:')
#lets check if working.
splitted_array = string_to_splitted_array(csv_string,delimeters)
print(splitted_array)
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Case insensitive searching in Oracle
...===============================================================--
SELECT /*csv*/ *
FROM tab1
WHERE name = 'jOHN' ;
-- no rows selected
SELECT /*csv*/ *
FROM tab1
WHERE name COLLATE BINARY_CI = 'jOHN' ;
/*
"I","NAME"
1,"John"
*/
SELECT /*csv*/ *
FROM tab1
WHERE name LIKE 'j%';
-- no rows selected
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Convert Pandas column containing NaNs to dtype `int`
I read data from a .csv file to a Pandas dataframe as below. For one of the columns, namely id , I want to specify the column type as int . The problem is the id series has missing/empty values.
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Replacing blank values (white space) with NaN in pandas
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If you are exporting the data from the CSV file it can be as simple as this :
df = pd.read_csv(file_csv, na_values=' ')
This will create the data frame as well as replace blank values as Na
...