Halflife2reloadedpasswordrar
Q:
How to export pandas dataframe to Excel?
How to export pandas dataframe to Excel?
A:
Create dataframe:
import pandas as pd
df = pd.DataFrame(np.random.randn(100, 10), columns=list(‘abcdefghij’))
Write dataframe to Excel file:
df.to_excel(‘df.xlsx’)
Read Excel file from importlib path:
importlib.import_module(‘df.xlsx’)
A:
I tried these ideas, didn’t work for me:
# df.to_excel(‘/usr/lib/pymodules/python2.7/pandas/df/core.pyx’)
# df.to_excel(‘df.xlsx’)
# df.to_excel(‘/usr/lib/pymodules/python2.7/pandas/df.xlsx’)
# df.to_excel(dtype=str, path=fn, encoding=’utf-8′)
For me, this did:
df.to_excel(‘df_out.xlsx’)
A:
Try these ways,
import numpy as np
import pandas as pd
from pandas import ExcelWriter
data = [[« 1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »],[‘2′,’1′,’1′,’1′,’1′,’1′,’1′,’1’,
‘1’,’1′,’1′],[« 3″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »,
« 1 », »1″, »1″],[« 4″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »,
« 1 », »1″, »1″],[« 5″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »],[« 6″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »],
[« 7″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1 »],[« 8″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1″, »1 », »1
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50b96ab0b6
. · Halflife2reloadedpasswordrar).
· Halflife2reloadedpasswordrar.
· Halflife2reloadedpasswordrar.
· Halflife2reloadedpasswordrar.
· Halflife2reloadedpasswordrar.Gelatin/polycation adsorption from oppositely charged ionic liquids.
Covalently modified capillary electrophoresis-based separations were developed for the detection of antibiotic rifampicin and beta-lactamase inhibitor sulbactam in aqueous solutions containing phosphate-buffered saline or various concentrations of a commercial cationic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate (BMIM-PF(6)). Rifampicin and sulbactam were detected based on the direct covalent binding between the added cationic liquid and the free amine groups of the analytes. Among the ionic liquids used for this study, BMIM-PF(6) showed the most promising results for cationic liquid-based CE, based on the detection of a greater number of pairs of species. In all cases, the addition of BMIM-PF(6) to the buffer solutions reduced the analyte-buffer partitioning and the adsorption of the analytes was independent of the cationic liquid concentration. Experimental measurements indicated that the solubility of the charged analytes in BMIM-PF(6) was at least 10 times greater than their solubility in the buffer solution without the added ionic liquid. The potential of the gel-electrophoretic separation for the detection of the antibiotic rifampicin in human blood samples was also investigated. As the concentration of BMIM-PF(6) increased, the adsorption efficiency of the analytes increased dramatically due to the greater changes in local analyte concentrations in the capillary, resulting from the enhanced solubility of the analytes in the BMIM-PF(6). The most favorable conditions for the adsorption of rifampicin and sulbactam were reached at a BMIM-PF(6) concentration of 2.0 mmol L(-1). The differences between the adsorption efficiencies of rifampicin and sulbactam were similar to those found for the in-capillary UV detection efficiencies.Q:
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