View legend_test.ipynb
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View pandas_to_sklean.ipynb
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View pickle_test.ipynb
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View matplotloib_sample.ipynb
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View py_kinji.py
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
from scipy import optimize as opt
kion = pd.read_csv("kion_20160501.csv")
kion.head()
Px = np.arange(0, len(kion), 1)
View kion_kinji.r
library(ggplot2)
kion = read.csv("kion_20160501.csv", header = T, colClasses = c("POSIXct", "numeric"))
head(kion)
summary(kion)
g = ggplot(kion, aes(1:nrow(kion), temp)) + geom_line(colour="blue") + labs(title="2016/05/01")
plot(g)
x = 1:nrow(kion)
View ggpairs_color.r
library(ggplot2)
library(GGally)
ggpairs(iris, aes_string(colour="Species", alpha=0.5))
View ggpairs_bw.r
library(GGally)
ggpairs(iris, colour="Species", alpha=0.5)
View my_number_checkdigit.py
def validate(mynum):
if type(mynum) == str:
if not mynum.isnumeric():
return "not numeric1"
elif not type(mynum) == int:
return "not numeric2"
mynum = str(mynum)
digits = list(mynum)
View user_paste.r
"+" = function(e1, e2){
if(is.character(c(e1, e2))){
paste(e1, e2, sep="")
}else{
base::"+"(e1, e2)
}
}