Странно «ModuleNotFoundErrior или нет модуля с именем iexfinance»

Я запускаю этот код в сообществе Pycharm 2017.3.3, он отлично работает. Однако, когда я пытаюсь запустить его из командной строки, я получаю:

"Из iexfinance import get_historical_data ModuleNotFoundError нет модуля с именем iexfinance"

Есть идеи? как вы можете догадаться, я ДЕЙСТВИТЕЛЬНО !! новый для Python.

<code>
from iexfinance import get_historical_data
from bokeh.plotting import figure, show, output_file
from bokeh.models.annotations import Title
from datetime import datetime
import pandas as pd
import matplotlib as plt
from datetime import date
from dateutil import parser
from datetime import datetime
import time
from math import pi
from pykalman import KalmanFilter
#This works in pycharm community but not from Command Line
ticker=input("Ticker: ")
start_date=input("Start Date: ")
end_date = input("End Date: ")
start_date = pd.to_datetime(start_date)
end_date = pd.to_datetime(end_date)
#Get rid of nsepy will use Quandl instead
df = get_historical_data(ticker, start=start_date, end=end_date, output_format='pandas')
#Show it
print(df)
kf = KalmanFilter(transition_matrices = [1],
                  observation_matrices = [1],
                  initial_state_mean = df['close'].values[0],
                  initial_state_covariance = 1,
                  observation_covariance=1,
                  transition_covariance=.01)
state_means,_ = kf.filter(df[['close']].values)
state_means = state_means.flatten()
df["date"] = pd.to_datetime(df.index)
mids = (df.open + df.close)/2
spans = abs(df.close-df.open)
inc = df.close > df.open
dec = df.open > df.close
w = 12*60*60*1000 
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
p = figure(x_axis_type="datetime", tools=TOOLS, plot_width=1000, toolbar_location="left",y_axis_label = "Price",
           x_axis_label = "Date")
p.segment(df.date, df.high, df.date, df.low, color="black")
p.rect(df.date[inc], mids[inc], w, spans[inc], fill_color='green', line_color="green")
p.rect(df.date[dec], mids[dec], w, spans[dec], fill_color='red', line_color="red")
p.line(df.date,state_means,line_width=1,line_color = 'blue',legend="Kalman filter")
t = Title()
t.text = 'Kalman Filter Estimation'
p.title = t
p.xaxis.major_label_orientation = pi/4
p.grid.grid_line_alpha=0.3
#Needed this
output_file(ticker + ".html")
show(p)

</code>