def __init__(self, img, layout='vertical', order=['R', 'G', 'B', 'V']):
QFrame.__init__(self)
r, g, b, v = histograms(img, 100)
self.r_hist = ColorHistogram(r, (255, 0, 0))
self.g_hist = ColorHistogram(g, (0, 255, 0))
self.b_hist = ColorHistogram(b, (0, 0, 255))
self.v_hist = ColorHistogram(v, (0, 0, 0))
self.setFrameStyle(QFrame.StyledPanel | QFrame.Sunken)
self.layout = QGridLayout(self)
self.layout.setMargin(0)
order_map = {
'R': self.r_hist,
'G': self.g_hist,
'B': self.b_hist,
'V': self.v_hist
}
if layout == 'vertical':
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], i, 0)
elif layout == 'horizontal':
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], 0, i)
def __init__(self, img, layout='vertical', order=['R', 'G', 'B', 'V']):
QWidget.__init__(self)
r, g, b, v = histograms(img, 100)
self.r_hist = ColorHistogram(r, (255, 0, 0))
self.g_hist = ColorHistogram(g, (0, 255, 0))
self.b_hist = ColorHistogram(b, (0, 0, 255))
self.v_hist = ColorHistogram(v, (0, 0, 0))
self.layout = QGridLayout(self)
order_map = {'R': self.r_hist, 'G': self.g_hist, 'B': self.b_hist,
'V': self.v_hist}
if layout=='vertical':
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], i, 0)
elif layout=='horizontal':
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], 0, i)
def __init__(self, img, layout="vertical", order=["R", "G", "B", "V"]):
QFrame.__init__(self)
r, g, b, v = histograms(img, 100)
self.r_hist = ColorHistogram(r, (255, 0, 0))
self.g_hist = ColorHistogram(g, (0, 255, 0))
self.b_hist = ColorHistogram(b, (0, 0, 255))
self.v_hist = ColorHistogram(v, (0, 0, 0))
self.setFrameStyle(QFrame.StyledPanel | QFrame.Sunken)
self.layout = QGridLayout(self)
self.layout.setMargin(0)
order_map = {"R": self.r_hist, "G": self.g_hist, "B": self.b_hist, "V": self.v_hist}
if layout == "vertical":
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], i, 0)
elif layout == "horizontal":
for i in range(len(order)):
self.layout.addWidget(order_map[order[i]], 0, i)
def update_hists(self, img):
r, g, b, v = histograms(img, 100)
self.r_hist.update_hist(r, (255, 0, 0))
self.g_hist.update_hist(g, (0, 255, 0))
self.b_hist.update_hist(b, (0, 0, 255))
self.v_hist.update_hist(v, (0, 0, 0))
def update_hists(self, img):
r, g, b, v = histograms(img, 100)
self.r_hist.update_hist(r, (255, 0, 0))
self.g_hist.update_hist(g, (0, 255, 0))
self.b_hist.update_hist(b, (0, 0, 255))
self.v_hist.update_hist(v, (0, 0, 0))
"<h1 style='text-align: center; color:#295E61 ;'>Film Box Office Exploratory Data Analysis and Model</h1>",
unsafe_allow_html=True)
st.write(
"""This web app contains an Exploratory Data Analysis on American Films since the 1990s with a total of around 6000 movies.
It also contains a Random Forest model that predicts a films box office with data from before released. All the
data is scrapped from wikipedia so the data is expected to be slightly off"""
)
if option == 'Exploratory Data Analysis':
col1, col2 = st.beta_columns(2)
col1.markdown(
"<h3 style='text-align: center; color:#295E61 ;'> Numerical Distributions</h3>",
unsafe_allow_html=True)
col1.pyplot(util.histograms(util.df))
col2.markdown(
"<h3 style='text-align: center; color:#295E61 ;'> Numerical Data Overview</h3>",
unsafe_allow_html=True)
col2.dataframe(util.df[['Box office', 'Budget',
'Running time']].describe())
## counts bar charts
st.markdown(
"<h2 style='text-align: center; color:#295E61 ;'>Movie Statistical Counts </h2>",
unsafe_allow_html=True)
st.pyplot(util.plot_counts(util.df))
st.markdown(
"<h4 style='text-align: center; color:#295E61 ;'>Observations</h4>",
unsafe_allow_html=True)
