WHY THIS SHITTER FUCK
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@@ -1,6 +1,8 @@
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# Getting and combining data
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# Getting and combining data
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import pandas as pd
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import pandas as pd
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import numpy as np
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import numpy as np
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from numpy import ndarray
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from scipy.stats import binned_statistic
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# Defining useful Functions to be used later
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# Defining useful Functions to be used later
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@@ -22,6 +24,7 @@ def write_joined_df(left, right, lsuf="new_key"):
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def slam_dunk(dataset, column, labels):
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def slam_dunk(dataset, column, labels):
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dataset[column] = dataset[column].fillna(0, inplace = True)
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min_value = dataset[column].min()
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min_value = dataset[column].min()
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max_value = dataset[column].max()
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max_value = dataset[column].max()
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print("min: ", min_value, " max: ", max_value)
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print("min: ", min_value, " max: ", max_value)
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@@ -32,4 +35,19 @@ def slam_dunk(dataset, column, labels):
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dataset[dunked_column] = pd.cut(
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dataset[dunked_column] = pd.cut(
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dataset[column], bins=bins, labels=labels, include_lowest=True
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dataset[column], bins=bins, labels=labels, include_lowest=True
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)
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)
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# filling column with means
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dataset[column] = dataset[column].interpolate(method = "linear", limit_direction = "backward", limit = 1)
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x_data = np.arange(0, len(dataset))
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y_data = dataset[column]
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x_bins, bin_edges, misc = binned_statistic(y_data, x_data, statistic='median', bins=len(labels))
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bin_intervals = pd.IntervalIndex.from_arrays(bin_edges[:-1], bin_edges[1:])
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dataset['PooShi'] = dataset[column].apply(lambda x: set_to_median(x, bin_intervals))
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return dataset
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return dataset
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def set_to_median(x, bin_intervals):
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for interval in bin_intervals:
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if x in interval:
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return interval.mid
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