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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)

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library(GGally)
ggpairs(iris, colour="Species", alpha=0.5)

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library(ggplot2)
library(GGally)
ggpairs(iris, aes_string(colour="Species", alpha=0.5))

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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)

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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)

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