h1ros

def change_datatype(df):
    int_cols = list(df.select_dtypes(include=['int']).columns)
    for col in int_cols:
        if ((np.max(df[col]) <= 127) and(np.min(df[col] >= -128))):
            df[col] = df[col].astype(np.int8)
        elif ((np.max(df[col]) <= 32767) and(np.min(df[col] >= -32768))):
            df[col] = df[col].astype(np.int16)
        elif ((np.max(df[col]) <= 2147483647) and(np.min(df[col] >= -2147483648))):
            df[col] = df[col].astype(np.int32)
        else:

h1ros

#!/bin/bash
# copy this file into /bin/zcat to a file called /bin/7zcat
PATH=${GZIP_BINDIR-'/bin'}:$PATH
exec 7z e -so -bd "$@" 2>/dev/null | cat

h1ros

python -m ipykernel install --user --name=my-virtualenv-name  --display-name "Python 3 (my-virtualenv)"
jupyter notebook

h1ros

if [ -n "$LD_LIBRARY_PATH" ]; then
  old_PATH=$LD_LIBRARY_PATH:; LD_LIBRARY_PATH=
  while [ -n "$old_PATH" ]; do
    x=${old_PATH%%:*}       # the first remaining entry
    case $LD_LIBRARY_PATH: in
      *:"$x":*) ;;         # already there
      *) LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$x;;    # not there yet
    esac
    old_PATH=${old_PATH#*:}
  done

h1ros

function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%      
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.