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data_sets <- c("mtcars", "morley", "rock") | |
shinyServer(function(input, output) { | |
# Drop-down selection box for which data set | |
output$choose_dataset <- renderUI({ | |
selectInput("dataset", "Data set", as.list(data_sets)) | |
}) | |
# Check boxes |
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# List unique values in a DataFrame column | |
pd.unique(df.column_name.ravel()) | |
# Convert Series datatype to numeric, getting rid of any non-numeric values | |
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
# Grab DataFrame rows where column has certain values | |
valuelist = ['value1', 'value2', 'value3'] | |
df = df[df.column.isin(valuelist)] |
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"""quick way to create a data frame to try things out""" | |
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
df['A'] """ will bring out a col """ df.ix[0] """will bring out a row, #0 in this case""" | |
"""to get an array from a data frame or a series use values, note it is not a function here, so no parans ()""" | |
point = df_allpoints[df_allpoints['names'] == given_point] # extract one point row. | |
point = point['desc'].values[0] # get its descriptor in array form. |
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""" | |
Extend the MOSAIC ConvertToCSV class to export arbitrary binary files. | |
:Created: 02/25/2015 | |
:Author: Arvind Balijepalli <[email protected]> | |
:ChangeLog: | |
.. line-block:: | |
02/25/15 AB Initial version | |
""" | |
import mosaic.ConvertToCSV as conv |